Nexify Infosystems

Data Integration and Pipeline Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Integration and Pipeline Engineer in Miami Lakes, Florida, for 12+ months at a competitive pay rate. Requires 7+ years of data engineering experience, proficiency in Informatica PowerCenter, ETL, Snowflake, and DBT, with SQL skills.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
June 24, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Miami Lakes, FL
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🧠 - Skills detailed
#Data Privacy #Project Management #Data Pipeline #Data Processing #Agile #Data Engineering #dbt (data build tool) #Datasets #Informatica PowerCenter #Leadership #Data Architecture #Data Integration #Informatica #"ETL (Extract #Transform #Load)" #Data Quality #SQL (Structured Query Language) #Scripting #Metadata #Cloud #Data Lineage #Snowflake #AWS (Amazon Web Services) #Data Governance
Role description
Job Title: Data Integration and Pipeline Engineer Location: Miami Lakes, Florida (Day 1 Onsite) Duration: 12+ Months Mandatory Skills: Informatica PowerCenter + ETL+ Snowflake + DBT Job Description : • 7+ years of experience in data engineering or data integration, with deep hands-on experience using Informatica PowerCenter and/or IDMC. • Strong understanding of ETL/ELT design principles, performance tuning, metadata, lineage, and data quality controls. • Proven experience supporting business-critical, regulated datasets in production environments. • Solid SQL skills and experience with scripting languages used in data processing. • Ability to diagnose and resolve complex data pipeline failures under operational pressure. • Clear communicator with the ability to collaborate across technical and non-technical teams. • Exposure to modern data platforms tools such as Snowflake, AWS, dbt, or other cloud-based data environments, and their orchestration tools. Preferred / Optional Experience (Nice to Have) • Experience working in banking or financial services environments. • Familiarity with hybrid architecture and phased modernization approaches. • Cloud certifications (AWS or equivalent) are a plus, not a requirement. CERTIFICATES, LICENSES, REGISTRATIONS • AWS or other cloud provider certifications is a plus KNOWLEDGE, SKILLS AND ABILITIES • Deep understanding of data integration principles, pipeline orchestration, data quality, and lifecycle management. • Strong understanding of data architecture principles and modern data engineering practices. • Strong leadership, communication, and stakeholder management skills. • Strong analytical and problem-solving skills with the ability to interpret complex data sets. • Excellent sense of urgency, ownership and accountability • Excellent verbal and written communication skills, with the ability to present technical concepts to non-technical stakeholders. • Ability to drive change and innovation within an organization. • Ability to lead cross-functional teams and work in a fast-paced environment. • Strong organizational skills and attention to detail. • Knowledge of data governance and data privacy regulations. • Familiarity with Agile or hybrid project management methodologies.